The use of geospatial data is increasingly significant, especially when it comes to applications like land cover classification, precision farming, environmental monitoring, disaster management, and urban planning. However, using satellite and aerial images to train deep learning models requires specific software tools that are capable of working with geographic coordinates, projections, raster formats, and multispectral information. TorchGeo helps to overcome this challenge by adding geospatial functionality to the PyTorch platform.